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Christopher Hesse
Christopher Hesse
Member of Technical Staff, OpenAI
Geverifieerd e-mailadres voor openai.com
Titel
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Language models are few-shot learners
TB Brown
arXiv preprint arXiv:2005.14165, 2020
316632020
Gpt-4 technical report
J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ...
arXiv preprint arXiv:2303.08774, 2023
35152023
Evaluating large language models trained on code
M Chen, J Tworek, H Jun, Q Yuan, HPDO Pinto, J Kaplan, H Edwards, ...
arXiv preprint arXiv:2107.03374, 2021
27842021
Dota 2 with large scale deep reinforcement learning
C Berner, G Brockman, B Chan, V Cheung, P Dębiak, C Dennison, ...
arXiv preprint arXiv:1912.06680, 2019
18842019
Training verifiers to solve math word problems
K Cobbe, V Kosaraju, M Bavarian, M Chen, H Jun, L Kaiser, M Plappert, ...
arXiv preprint arXiv:2110.14168, 2021
16562021
Openai baselines
P Dhariwal, C Hesse, O Klimov, A Nichol, M Plappert, A Radford, ...
10372017
Stable baselines
A Hill, A Raffin, M Ernestus, A Gleave, A Kanervisto, R Traore, P Dhariwal, ...
9132018
Webgpt: Browser-assisted question-answering with human feedback
R Nakano, J Hilton, S Balaji, J Wu, L Ouyang, C Kim, C Hesse, S Jain, ...
arXiv preprint arXiv:2112.09332, 2021
8792021
Quantifying generalization in reinforcement learning
K Cobbe, O Klimov, C Hesse, T Kim, J Schulman
International conference on machine learning, 1282-1289, 2019
7052019
Leveraging procedural generation to benchmark reinforcement learning
K Cobbe, C Hesse, J Hilton, J Schulman
International conference on machine learning, 2048-2056, 2020
5602020
Language Models are Few-Shot Learners, arxiv, 2020
TB Brown
4482005
Scaling laws for autoregressive generative modeling
T Henighan, J Kaplan, M Katz, M Chen, C Hesse, J Jackson, H Jun, ...
arXiv preprint arXiv:2010.14701, 2020
3052020
Gotta learn fast: A new benchmark for generalization in rl
A Nichol, V Pfau, C Hesse, O Klimov, J Schulman
arXiv preprint arXiv:1804.03720, 2018
2122018
Language Models are Few-Shot Learners. 2020. doi: 10.48550
TB Brown, B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, ...
arxiv, 5-7, 2005
1952005
Dota 2 with large scale deep reinforcement learning
CB OpenAI, G Brockman, B Chan, V Cheung, P Debiak, C Dennison, ...
arXiv preprint arXiv:1912.06680 2, 2019
1162019
Language models are few-shot learners
B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, A Neelakantan, ...
arXiv preprint arXiv:2005.14165 1, 2020
732020
Training verifiers to solve math word problems, 2021
K Cobbe, V Kosaraju, M Bavarian, M Chen, H Jun, L Kaiser, M Plappert, ...
URL https://arxiv. org/abs/2110.14168, 2021
722021
Openai baselines (2017)
P Dhariwal, C Hesse, O Klimov, A Nichol, M Plappert, A Radford, ...
URL https://github. com/openai/baselines, 2016
622016
Stable baselines. 2018
A Hill, A Raffin, M Ernestus, A Gleave, A Kanervisto, R Traore, P Dhariwal, ...
Publication Title: GitHub repository 21, 2019
462019
Dota 2 with large scale deep reinforcement learning. arXiv 2019
C Berner, G Brockman, B Chan, V Cheung, P Debiak, C Dennison, ...
arXiv preprint arXiv:1912.06680, 0
46
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Artikelen 1–20